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Jahr: 2024
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  1. Florian Cordes; Ajish Babu; Tobias Stark

    Sherpa, a family of wheeled-leg rovers

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Pages 281-304, Vol. 514, ISBN 978-0-323-88482-2, Elsevier Science, 12/2024.

  2. Maximilian Albracht; Shivesh Kumar; Shubham Vyas; Frank Kirchner

    Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments

    In: Andrea Del Prete; Abderrahmane Kheddar (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 10, Pages 8507-8514, IEEE, 10/2024.

  3. Roswitha Duwenbeck; Elsa Andrea Kirchner

    A Machine Learning Approach for Resource-efficient and Subject-independent Speech Based Stress Detection

    In: 2024 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES-2024), December 11-13, Penang, Malaysia, ISBN 979-8-3503-8340-9, IEEE, 2024.

  4. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

    Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.

  5. Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski

    Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  6. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  7. Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf

    On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery

    In: ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 34, No. 1, Article No.: 3, Pages 1-29, Association for Computing Machinery, New York, 2024.

  8. Nareg Minaskan Karabid; Bastian Krayer; Alain Pagani; Didier Stricker

    Augmented telecommunication in factory setting

    In: Proceedings of. EuroXR International Conference (EuroXR-2024), VTT, 2024.

  9. Brian Moser; Arundhati Shanbhag; Federico Raue; Stanislav Frolov; Sebastian Palacio; Andreas Dengel

    Diffusion Models, Image Super-Resolution, and Everything: A Survey

    In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 0, Pages 1-21, IEEE, 2024.

  10. N. Becker; K. Sovailo; C. Zhu; E. Gattung; K. Hansel; T. Schneider; Y. Zhu; Y. Hasegawa; Jan Peters

    Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation

    In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), IEEE, 2024.

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